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Prognosis evaluation system for prostate cancer patient and application thereof

A prostate cancer and prognosis assessment technology, applied in the field of biomedicine, can solve problems such as the inability to predict the prognosis of prostate cancer patients and the inability to guide clinicians to treat patients, and achieve the effect of improving prediction efficiency

Pending Publication Date: 2021-03-12
THE FIRST AFFILIATED HOSPITAL OF ANHUI MEDICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, currently available cancer classification systems cannot accurately predict the prognosis of prostate cancer patients and cannot guide clinicians in the treatment of patients

Method used

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  • Prognosis evaluation system for prostate cancer patient and application thereof
  • Prognosis evaluation system for prostate cancer patient and application thereof
  • Prognosis evaluation system for prostate cancer patient and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] Establishment of PCIPI:

[0030] (1) Collection of patients and their clinical characteristics:

[0031]Formalin-fixed paraffin-embedded tissues were collected from 69 patients who underwent radical prostatectomy in the Department of Urology, The First Affiliated Hospital of Anhui Medical University (AHMU-PC cohort), and each patient's data were obtained from electronic medical records. Pathological information, regular follow-up, follow-up endpoint is biochemical recurrence (BCR), which is defined as 6-13 weeks after radical prostatectomy, the level of prostate-specific antigen (PSA) in patients increases and is greater than 0.2ng / mL, and in the following The follow-up examination was maintained at a high level; and all involved and testing procedures were carried out in accordance with the Declaration of Helsinki II and approved by the Ethics Committee of the First Affiliated Hospital of Anhui Medical University (approval number: PJ2019-09-11), and from the public dat...

Embodiment 2

[0055] Predictive detection of the PCIPI system in adjusting key clinicopathological features:

[0056] (1) Screening the above cohorts with HR values ​​greater than 1.5, multivariate Cox regression analysis was carried out; it was found that in the four cohorts of TCGA-PRAD, AHMU-PC, GSE116918 and GSE70770, PCIPI was an independent prognostic factor for prostate cancer patients (as follows shown in Table 3);

[0057] (2) The restricted mean survival time (RMS) ratio was used to compare the RFS outcomes of patients in different PCIPI subgroups. The ratios of the four data sets were all between 0.63 and 0.89 (as shown in Table 4 below), That is, the prediction result is relatively stable;

[0058] (3) In the TCGA-PRAD and AHMU-PC cohorts, NES of aDC, angiogenesis, macrophages, NK cells, and pro-inflammatory signals were increased in the PCIPI-HIGH (high score) subgroup (P Figure 15 G and Figure 16 shown).

[0059] Table 3: PCIPI as an independent predictor of recurrence-fre...

Embodiment 3

[0066] To further assess whether PCIPI is indicative of immune infiltration in prostate cancer patients:

[0067] (1) Assess the correlation between the PCIPI determined above and the immune score and tumor purity defined by Yoshihara et al. In the TCGA-PRAD and AHMU-PC groups, PCIPI was significantly positively correlated with Immune Score (all P Figure 15 H-I), and negatively correlated with tumor purity (all P Figure 15 J-K); in MSKCC, GSE70770, GSE46602 and GSE116918 cohorts, similar results were obtained (eg Figure 15 L);

[0068] (2) The infiltration abundance of TILs was confirmed by HE staining, and the infiltration degree of these cells was confirmed to be positively correlated with the PCIPI score in the TCGA-PRAD cohort (P Figure 15 M);

[0069] (3) GSEA analysis was also performed to compare the PCIPI-HIGH and PCIPI-LOW (low score) groups in the TCGA-PRAD cohort, and found that the chemokine signaling pathway in the PCIPI-HIGH subgroup ( Figure 15 N), B cell rec...

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Abstract

The invention provides a prognosis evaluation system for a prostate cancer patient and application of the prognosis evaluation system, and relates to the technical field of biomedicine. The evaluationsystem includes detecting a system of 14 sets of immune-related signature genes and a PCIPI. The 14 sets comprise: aDC, Angiogensis, CSF1 Response, GRANS, HCK, Lymphocyte-Specific Attractor, Neutrophils, NK CD56 bright cells, NK CD56 dim cells, Macrophages, Pro-inflammatory, Proliferation, Stromal cell, and ZMYND10 Metagene. According to the invention, the defects of the prior art are overcome, the PCIPI is established, and the correlation between the PCIPI and the recurrence-free lifetime (RFS) of a patient, tumor-infiltrated immune cells and mutation load is determined, so that the potential mechanism of immunotherapy drug resistance generation can be explained, and the clinical treatment of the prostate cancer patient can be guided conveniently.

Description

technical field [0001] The invention relates to the technical field of biomedicine, in particular to a prognostic evaluation system for prostate cancer patients and its application. Background technique [0002] Prostate cancer is the second most common cancer among men worldwide and the fifth leading cause of death in men. However, currently available cancer classification systems cannot accurately predict the prognosis of prostate cancer patients and cannot guide clinicians in the treatment of patients. Therefore, we aimed to establish an evaluation system based on the behavioral characteristics of immune cells / immune responses, which can be used to predict patient prognosis and response to immunotherapy. [0003] The Prostate Cancer Immunologic Prognostic Index (PCIPI) is a promising biological typing system for assessing recurrence-free survival in prostate cancer. Patients with high PCIPI may benefit from anti-PD-1 / PD-L1 immunotherapy. Recently, more and more studies...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G06Q10/04G16B20/50G16B20/10C12Q1/6886
CPCG16H50/30G06Q10/04G16B20/50G16B20/10C12Q1/6886C12Q2600/158
Inventor 张蒙孟佳林董柏君周宇杰陆晓凡卞子辰朱晨玉金晓妍王炳然张浩敏牛青松张力郝宗耀梁朝朝
Owner THE FIRST AFFILIATED HOSPITAL OF ANHUI MEDICAL UNIV
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